个结果，搜索词为 "random forest algorithm"
您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
您将获得的技能: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)
Coursera
您将获得的技能: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering
您将获得的技能: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
是什么让您今天来到 Coursera？
Coursera
您将获得的技能: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
Packt
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
Wesleyan University
您将获得的技能: Python 编程, 无监督学习, 机器学习方法, 功能工程, 分类与回归树 (CART), 决策树学习, 统计机器学习, 随机森林算法, 数据分析, Model Evaluation, 应用机器学习, 机器学习算法, 模型评估, 机器学习, 预测建模, 预测分析, 探索性数据分析, 回归分析
Coursera
您将获得的技能: Reinforcement Learning, Inventory Control, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Model Optimization, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Fine-tuning, Performance Tuning, Decision Making, Simulations, Algorithms
您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
总之，以下是 10 最受欢迎的 random forest algorithm 课程
- The Nuts and Bolts of Machine Learning: Google
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Train ML Models: Coursera
- Satellite Imagery, Remote Sensing & Machine Learning: Coursera
- Mastering Machine Learning Algorithms using Python: Packt
- Build Predictive & Supervised Models: Coursera
- Grow Trees & Powerful Ensembles: Coursera
- Recommender Systems: Packt
- 数据分析机器学习: Wesleyan University
- Optimize with GA & RL: Coursera
